Hi all, I have fitted a gee model with the gee package and included restricted cubic spline functions. Here is the model: chol.g <- gee(SKIN ~ rcs(CHOLT, 3), id=ID, data=chol, family=binomial(link="logit"), corstr="exchangeable")
To extract the log odds I use: predict.glm(chol.g, type = "link") Now I want to compute the logg odds for specific CHOLT values (the dependent variable) that I want to choose myself (i.e. that are not available in the dataset). Is there a way to get the linear predictor of the gee model including all separate spline functions and related coefficients? Latex from the Design package does not work here. Thanks for your help! kind regards, Martijn W Heymans Faculty of Earth and Life Sciences Institute of Health Sciences Department of Methodology and Applied Biostatistics VU University Amsterdam, the Netherlands [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.